Stars
A curated archive of breakthroughs in Agents, Architecture, Training, RAG, and On-Device AI.
Claude Code dashboard with usage stats, error analysis, and sharable feature
Official repository for the book Build Finance Application with AI. This repo contains step-by-step examples illustrating how to implement AI-driven finance applications using machine learning/deep…
algorithmic trading for quantitative strategies
the resources I use to learn computer science in my spare time
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Predict life expectancy of a country or a geographical area based on socioeconomic factors.
A curated list of practical financial machine learning tools and applications.
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Predicting a Stock Price Using a Genetic Algorithm
Ipython notebooks for math and finance tutorials
8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
Python library of various financial technical indicators
Stock Prediction using machine learning
Technical Analysis Library using Pandas and Numpy
Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting …
This is my Capstone project for NYCDSA, stock market predictions
As described in Advances of Machine Learning by Marcos Prado.
A practice project for machine learning and stop price prediction
Implementation of a paper in q/KDB+ and python - "Forecasting ETFs with Machine Learning Algorithms" - Jim Kyung-Soo Liew and Boris Mayster
Quant/Algorithm trading resources with an emphasis on Machine Learning
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…